TLDR: Edward Jones, in partnership with EPAM, is leveraging Generative AI (GenAI) to revolutionize its software engineering processes. This strategic adoption has led to a 20% increase in engineering efficiency and a significant reduction in software defects. GenAI tools are automating tasks such as code migration, refactoring, unit test generation, and documentation, allowing engineers to focus on more complex and impactful work. A notable project involving legacy code modernization saw an 800% acceleration in code delivery and $650,000 in savings.
Edward Jones, a prominent financial services firm serving over 8 million investors, is undergoing a significant transformation in its software engineering landscape through the strategic implementation of Generative AI (GenAI) technologies. This initiative, detailed by Kevin Adams, CIO and Head of Digital at Edward Jones, highlights a successful partnership with EPAM in deploying AI-driven tools to enhance efficiency, modernize capabilities, and foster innovation.
According to Adams, the integration of GenAI has resulted in a remarkable 20% increase in engineering efficiency and a ‘noticeable reduction in software defects.’ This improvement is attributed to GenAI’s ability to automate numerous time-consuming tasks that traditionally occupied engineers. These tasks include ‘code migration, refactoring, unit test generation and documentation,’ thereby freeing up engineering talent for ‘more complex and impactful work.’
One of the most compelling examples of GenAI’s impact at Edward Jones is a legacy code modernization project. By utilizing GenAI solutions to ‘analyze that code, extract business rules and generate detailed documentation,’ the firm established a robust foundation for a modern, maintainable system. The project achieved ‘98% code completeness and 99% fidelity’ through AI-generated unit tests, ensuring the new system mirrored the original’s behavior. This led to an ‘accelerated code delivery by over 800% in just three months,’ an ‘84% reduction in manual review time,’ and substantial ‘savings of $650,000.’ This success has ‘set a new standard for how we approach modernization, making it faster, more reliable and more cost-effective.’
Edward Jones is not stopping at current implementations. The firm is actively exploring ‘a new generation of AI-based engineering tools’ that extend beyond automated code. These future applications include ‘chat-oriented programming and agentic workflows’ for conversational and context-aware interactions, as well as ‘autonomous AI agents’ capable of handling intricate tasks like legacy code migrations and security updates. Furthermore, GenAI is proving invaluable in upskilling engineers, enabling them to ‘quickly become proficient in new programming languages and frameworks.’ A small team, for instance, rapidly developed an AI copilot tool, demonstrating the technology’s power in scaffolding code, optimizing implementations, and solving complex challenges despite limited prior experience with certain technologies.
Also Read:
- Thoughtworks Leverages Generative AI to Reverse Engineer Legacy Systems, Creating Functional Blueprints
- Capgemini Foresees AI Revolutionizing Data Automation: Towards Zero-Code, Intelligent Integration
The partnership with EPAM Systems has been crucial to Edward Jones’ success. Adams emphasizes the importance of collaborating with ‘trusted providers like EPAM—that are familiar with our tech stack and workflows.’ This collaboration underscores a forward-thinking approach to technology adoption, positioning Edward Jones at the forefront of AI-driven software engineering innovation.
